• Suche: "computational modeling"

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121

Neuro-oscillatory models of cortical speech processing
Dogonasheva, Olesia ; Giraud, Anne-Lise ; Zakharov, Denis ; et al.

Computational modeling Auditory cortex Speech processing Oscillations Neuronal models [SCCO.NEUR]Cognitive sci... …
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122

Analysis and design of low-profile transmitarrays: the role of oblique incidence
Tummolo, Andrea ; Koutsos, Orestis ; Foglia Manzillo, Francesco ; et al.

Computational modeling Feeds Apertures Gain Accuracy Numerical models …
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123

Modelling Partially-Dielectric Unit Cells for OAM Transmitarrays
Balmaseda-Márquez, Miguel, A ; Valerio, Guido ; Padilla, Pablo ; et al.
IEEE Access. 12:110840-110849

Propagation losses Dielectric losses Electromagnetic scatteri... Cutoff frequency Computational modeling Filling …
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124

Phase quantification using deep neural network processing of XRD patterns
Simonnet, Titouan ; Grangeon, Sylvain ; Claret, Francis ; et al.
International Union of Crystallography journal. :859-870

composite materials computational modeling deep neural network powder X-ray diffraction calcite gibbsite …
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125

Exposure Assessment for Wearable Patch Antenna Array at Millimeter Waves
Gallucci, Silvia ; Bonato, Marta ; Benini, Martina ; et al.
IEEE Access. 12:80223-80232

Millimeter wave communic... Epidermis Muscles Fats Analytical models Dermis …
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126

High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization
Fang, Z. ; Albera, L. ; Kachenoura, A. ; et al.
IEEE Signal Processing Letters. 31:1975-1979

Brain modeling Numerical models Estimation Linear programming Electroencephalography Convergence …
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127

Multi-modal Circuit Model Derivation for Finite Thickness Frequency Selective Surfaces
Alwakil, Ahmed D. ; Sauleau, Ronan ; Ettorre, Mauro ; et al.
IEEE Antennas and Wireless Propagation Letters. 23(5):1648-1652

Electromagnetic waveguid... Transmission line matrix... Apertures Magnetic resonance Cutoff frequency Computational modeling …
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128

Reduced Honeybee Pollen Foraging under Neonicotinoid Exposure: Exploring Reproducible Individual and Colony Level Effects in the Field Using AI and Simulation
Wang, Ming ; Tausch, Frederic ; Schmidt, Katharina ; et al.
Environmental Science & Technology. 59(10):4883-4892

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129

Language Discrimination May Not Rely on Rhythm: A Computational Study
Famularo, Ruolan Leslie ; Aboelata, Ali ; Schatz, Thomas ; et al.
Annual Meeting of the Cognitive Science Society (COGSCI), Jul 2024, Rotterdam, France

Rotterdam, France language acquisition computational modeling rhythm language discrimination speech perception …
Konferenz
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130

Consistency effects in both reading and spelling: Preliminary results of a probabilistic modeling study
Charrier, Camille ; Bosse, Marie-Line ; Diard, Julien ; et al.
Thirty-First Annual Meeting of the Society for the Scientific Study of Reading, Jul 2024, Copenhagen, Denmark

Copenhagen, Denmark Spelling Word reading Computational modeling [SCCO]Cognitive science [SCCO.PSYC]Cognitive sci... …
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131

COMPUTER MODELING FOR EVALUATION OF LOGISTIC COST SCENARIOS IN A HIGHER EDUCATION INSTITUTION
Rodrigues, Glauco Oliveira ; de Cristo, Elenara Milena ; Simonetto, Eugênio de Oliveira ; et al.
Revista Gestão & Tecnologia; Vol. 25 No. 3 (2025); 178-191
Revista Gestão & Tecnologia; v. 25 n. 3 (2025); 178-191

Logistic Cost Operational Research Transport, Scenarios, Lo... Scenarios Computational Modeling Transport
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132

Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches
Yulian T. Manchev ; Paul L. A. Popelier
Manchev, Y & Popelier, P 2025, ' Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches ', Journal of Chemical Theory and Computation . https://doi.org/10.1021/acs.jctc.5c00344
Manchev, Y & Popelier, P 2025, 'Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches', Journal of Chemical Theory and Computation, vol. 21, no. 11, pp. 5490–5500. https://doi.org/10.1021/acs.jctc.5c00344

computational modeling Energy reaction products Ammonia Electrical energy Reaction products …
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133

Investigating the Resilience Source of Classification Systems for Approximate Computing Techniques
Barbareschi, Mario ; Barone, Salvatore
IEEE Transactions on Emerging Topics in Computing. 13:382-394

Deep Neural Networks Hardware Resilience Computational Modeling Decision Trees Training …
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134

Artificial intelligence in computational modeling of thrombosis: Bridging mechanistic insights and clinical translation
Bannoud, Mohamad Al ; Martins, Tiago Dias ; Montalvão, Silmara Aparecida de Lima ; et al.
Journal of Thrombosis and Thrombolysis: A Journal for Translation, Application and Therapeutics in Thrombosis and Vascular Science. :1-19

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135

Neurofeedback, Biofeedback, and Basic Learning Theory: Revisiting the 2011 Conceptual Framework
Kerson, Cynthia ; Sherlin, Leslie H. ; Davelaar, Eddy J.
Applied Psychophysiology and Biofeedback: In association with the Association for Applied Psychophysiology and Biofeedback. :1-13

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136

Reward and punishment learning among people with a lifetime history of anxiety, depression, and substance use disorder
Haynes, Jeremy M. ; Sullivan-Toole, Holly ; Haines, Nathaniel ; et al.
Cognitive, Affective, & Behavioral Neuroscience. 25(6):1765-1778

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137

Fintech Innovations in Service: 24/7/365 Interbank Settlement
Huang, Yuanzhi ; Zhang, Jingwen
Journal of the Knowledge Economy. 16(6):18559-18582

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138

FractionalNet: a symmetric neural network to compute fractional-order derivatives
Biligiri, Dhanush ; Smitterberg, Jack Anders ; Akki, Shivayogi ; et al.
Nonlinear Dynamics: An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems. 113(24):33381-33398

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139

3D force microscopy for volumetric quantification of ultrasound-induced loading: applications for bone repair
Grassie, Kevin P. ; Wang, Fei ; Huey, Bryan D. ; et al.
Biomechanics and Modeling in Mechanobiology. 24(6):2127-2152

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140

Overt Visual Attention in the Formation of Preference Between Complex Lottery Options
Fan, Xinhao ; Elsey, Jacob ; Wyngaard, Aurelien ; et al.
Computational Brain & Behavior. 8(4):568-587

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